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Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network


Oct 25, 2022
Huan Hua, Jun Yan, Xi Fang, Weiquan Huang, Huilin Yin, Wancheng Ge

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Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence


Sep 15, 2022
Zeyu Fu, Zhuang Fu, Chenzhuo Lv, Jun Yan

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* 18pages, 8figures, Under review for Medical Image Analysis 

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FedSSO: A Federated Server-Side Second-Order Optimization Algorithm


Jun 20, 2022
Xin Ma, Renyi Bao, Jinpeng Jiang, Yang Liu, Arthur Jiang, Jun Yan, Xin Liu, Zhisong Pan

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Wavelet Regularization Benefits Adversarial Training


Jun 08, 2022
Jun Yan, Huilin Yin, Xiaoyang Deng, Ziming Zhao, Wancheng Ge, Hao Zhang, Gerhard Rigoll

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* Preprint version 

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Textual Backdoor Attacks with Iterative Trigger Injection


May 25, 2022
Jun Yan, Vansh Gupta, Xiang Ren

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Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification


Jan 27, 2022
Jianpeng Liao, Qian Tao, Jun Yan

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Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic


Nov 11, 2021
Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wanchen Ge

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On the Robustness of Reading Comprehension Models to Entity Renaming


Oct 16, 2021
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren

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RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models


Sep 12, 2021
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren

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* Accepted to EMNLP 2021 as a short paper. Project website: https://inklab.usc.edu/rockner/ 

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On Procedural Adversarial Noise Attack And Defense


Aug 27, 2021
Jun Yan, Xiaoyang Deng, Huilin Yin, Wancheng Ge

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* Remove theoretical analysis and focus on the empirical study 

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